Supervised Learning Method of Parallel Classified Hesitant Information and Its Application in the Smart Home System Selection

M Liu, W Zhou, Z Xu - IEEE Transactions on Engineering …, 2024 - ieeexplore.ieee.org
In the group decision-making process, experts and decision makers can sometimes provide
subjective evaluation information with classification labels. To effectively deal with it and …

A risk treatment strategy model for oil pipeline accidents based on a bayesian decision network model

C Zhang, W Wang, F Xu, Y Chen, T Qin - International journal of …, 2022 - mdpi.com
Risk treatment is an effective way to reduce the risk of oil pipeline accidents. Many risk
analysis and treatment strategies and models have been established based on the event …

Novel distance measures of multigranular unbalanced hesitant fuzzy linguistic term sets based on semantics intervals

Y Zhao, N Jiang, X Deng - IEEE Transactions on Cybernetics, 2022 - ieeexplore.ieee.org
In the field of qualitative decision making with hesitant fuzzy linguistic term sets (HFLTSs),
distance measure (DM) is a significant concept that reflects the degree of difference between …

Probabilistic Hesitant Fuzzy Evidence Theory and Its Application in Capability Evaluation of a Satellite Communication System

J Liu, P Jian, D Liu, W Xiong - Entropy, 2024 - mdpi.com
Evaluating the capabilities of a satellite communication system (SCS) is challenging due to
its complexity and ambiguity. It is difficult to accurately analyze uncertain situations, making it …

Automatically interactive group VIKOR decision making mechanism based on BSO-SNA

X Tao, W Jiang - Applied Soft Computing, 2021 - Elsevier
In order to improve the reliability of alternative ranking and group consensus adaptively, this
paper develops an automatically interactive group decision-making (GDM) framework under …

A novel complex evidential distance with its application in pattern recognition

Z Zhang, F Xiao - Engineering Applications of Artificial Intelligence, 2021 - Elsevier
Complex evidence theory is an effective information fusion method, which can be used to
fuse complex basic belief assignments (CBBAs) and obtain a reasonable result. In complex …

A PL-MCDM method based on the decision-making reliability of multi-group for patients with chronic diseases requiring downward referral

M Zhao, X Wang, Z Xu, M Lin - Applied Intelligence, 2022 - Springer
With the number of patients with chronic diseases increasing, a hierarchical diagnosis and
treatment system is a feature of long-term treatment. During the treatment, if patients with …

[PDF][PDF] 基于云模型的基本概率赋值生成方法及应用

国强, 文伟璐, 王亚妮, 戚连刚 - 电子与信息学报, 2023 - jeit.ac.cn
针对证据理论应用中基本概率赋值(BPA) 生成模型难以确定问题, 该文提出一种基于云模型的
BPA 生成方法. 首先基于样本属性的正态云模型构建单子集命题的BPA 模型函数 …

Successful Surfing in Capital Market: Phenomenological Study of Indonesian “Warren Buffett”

J Denie, NK Indrawati… - … Gestão Social e …, 2024 - rgsa.openaccesspublications.org
Objective: The purpose of this study is to uncover the successful secrets of a No. 1 individual
investor on the Indonesian stock exchange who has proven to earn huge amounts of profits …

A consensus reaching process with hesitant fuzzy elements considers the individuals best and worst consensus levels

J Li, L Niu, Q Chen, F Li, L Wei, Z Wang - Knowledge and Information …, 2023 - Springer
The purposes of the study: to address the situation where multi-criteria decision-making
(MCDM) problems with hesitant fuzzy elements (HFEs), this study develops group decision …